Title :
On Optimum Asymptotic Multiuser Efficiency of Randomly Spread CDMA
Author :
Sedaghat, Mohammad Ali ; Muller, Ralf R. ; Marvasti, Farokh
Author_Institution :
Dept. of Electron. & Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Abstract :
We extend the result by Tse and Verdú on the optimum asymptotic multiuser efficiency of randomly spread code division multiple access (CDMA) with binary phase shift keying input. Random Gaussian and random binary antipodal spreading are considered. We obtain the optimum asymptotic multiuser efficiency of a K-user system with spreading gain N when K and N → ∞ and the loading factor, (K/N), grows logarithmically with K under some conditions. It is shown that the optimum detector in a Gaussian randomly spread CDMA system has a performance close to the single user system at high signal-to-noise ratio when K and N → ∞ and the loading factor, (K/N), is kept less than (log3 K/2). Random binary antipodal matrices are also studied and a lower bound for the optimum asymptotic multiuser efficiency is obtained. Furthermore, we investigate the connection between detecting matrices in the coin weighing problem and optimum asymptotic multiuser efficiency. We obtain a condition such that for any binary input, an N × K random matrix, whose entries are chosen randomly from a finite set, is a detecting matrix as K and N → ∞.
Keywords :
Gaussian processes; code division multiple access; matrix algebra; K-user system; binary phase shift keying input; coin weighing problem; loading factor; optimum asymptotic multiuser efficiency; random Gaussian; random binary antipodal matrices; random binary antipodal spreading; randomly spread CDMA; signal-to-noise ratio; spread code division multiple access; Binary phase shift keying; Compressed sensing; Detectors; Loading; Multiaccess communication; Noise measurement; Signal to noise ratio; Code division multiple access (CDMA); compressive sensing; detecting matrices; multiuser detection; optimum asymptotic multiuser efficiency; random spreading;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2015.2482483